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Online Estimation of the State of Health of a Rechargeable Battery Through Distal Learning of a Fuzzy Model

dc.contributor.authorSánchez Ramos, Luciano 
dc.contributor.authorOtero Rodríguez, José 
dc.contributor.authorGonzález Vega, Manuela 
dc.contributor.authorAnseán González, David 
dc.contributor.authorCouso Blanco, Inés 
dc.date.accessioned2019-11-14T10:22:11Z
dc.date.available2019-11-14T10:22:11Z
dc.date.issued2020
dc.identifier.isbn9783030200541
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/10651/53237
dc.descriptionInternational Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO (14th. 2019. Seville, Spain)
dc.description.sponsorshipThis work has been funded by the Ministry of Science and Innovation of the Government of Spain and by the FEDER funds of the European Community through projects with codes FC-IDI/2018/000226, TEC2016-80700-R (AEI/FEDER, UE) and TIN2017-84804-R.
dc.format.extentp. 68-77
dc.language.isoeng
dc.relation.ispartof14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computing
dc.rights© Springer Nature Switzerland AG 2020
dc.sourceScopus
dc.source.urihttps://www2.scopus.com/inward/record.uri?eid=2-s2.0-85065923750&doi=10.1007%2f978-3-030-20055-8_7&partnerID=40&md5=6f5d8d75c3e4ec4e5269544942e1fa6e
dc.titleOnline Estimation of the State of Health of a Rechargeable Battery Through Distal Learning of a Fuzzy Model
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-030-20055-8_7
dc.relation.projectIDFC-IDI/2018/000226
dc.relation.projectIDAEI/FEDER/TEC2016-80700-R
dc.relation.projectIDTIN2017-84804-R
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-030-20055-8_7


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